26 years after Larry Swanson emphasized “the amygdala is neither a structural or functional unit” we used sn-RNAseq to answer the question: “What is the [primate] amygdala?” Check out the preprint 👇 biorxiv.org/content/10.110…

Is there a name for the hypothesis that task-trained neural networks and biological brains develop similar representations when they perform well, despite differences in architecture and learning methods? I.e. that optimization (whether backprop or evolution) leads to a similar

As OpenAI and Meta introduce LLM-driven searchbots, I'd like to once again remind people that neither LLMs nor chatbots are good technology for information access. A thread, with links: >>

✨ So proud of this special issue and deeply grateful for my wonderful co-editors, all contributions at the workshop by participants, and the amazing resulting papers in the special issue. Check it out! You will not be disappointed, I promise 😊

paper alert 🔔 Network Neuroscience Does a brain region's energy demand reflect its control costs to transition between brain states? direct.mit.edu/netn/article/d… 🧵…

E11 Bio is excited to share a major step towards brain mapping at 100x lower cost, making whole-brain connectomics at human & mouse scale feasible (🧠→🔬→💻). Critical for curing brain disorders, building human-like AI systems, and even simulating human brains. 1/N 🧵

Our review on the theoretical status of oscillations and field potentials is out! What are their causal effects, and what can electrophysiology signals reveal about how the brain works? w/ Dan Levenstein Matt Krause Bradley Voytek Richard Gao cell.com/trends/cogniti…

This is interesting as a first large diffusion-based LLM. Most of the LLMs you've been seeing are ~clones as far as the core modeling approach goes. They're all trained "autoregressively", i.e. predicting tokens from left to right. Diffusion is different - it doesn't go left to

𝗥𝗵𝘆𝘁𝗵𝗺𝘀 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻 Decoding the rhythmic representation and communication of visual contents doi.org/10.1016/j.tins…

Playing a video game increased brain hippocampal grey matter. 🧵1/9

How Memories Take Shape at the Synapse Level Researchers have developed a powerful new technique called EPSILON that maps the molecular dynamics of memory formation in the brain by tracking key synaptic proteins. The method focuses on AMPARs, receptors crucial for synaptic

𝗧𝗵𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗯𝗿𝗮𝗶𝗻 Interesting review on spontaneous activity and predictions. Idea of "predictions" is natural (could it be otherwise?) but emphasis on constructing models of world not persuasive. Bayesian motivation is vague imo. doi.org/10.1016/j.neur…

PSA: If you or your loved one suffers from mental health disorder or neurological diseases, PLEASE DO NOT VISIT NIMHANS AT BANGALORE. This is a prescription from the apex institute in India for mental health and neurosciences. This is what has been done to the credibility of

New paper on the generalization of Flow Matching arxiv.org/abs/2506.03719 🤯 Why does flow matching generalize? Did you know that the flow matching target you're trying to learn **can only generate training points**? with Quentin Bertrand, Anne Gagneux & Rémi Emonet 👇👇👇

BREAKING: MIT just completed the first brain scan study of ChatGPT users & the results are terrifying. Turns out, AI isn't making us more productive. It's making us cognitively bankrupt. Here's what 4 months of data revealed: (hint: we've been measuring productivity all wrong)

Excited to announce the Foundation Models for the Brain and Body workshop at #NeurIPS2025!🧠 We invite short papers or interactive demos on AI for neural, physiological or behavioral data. Submit by Aug 22 👉 brainbodyfm-workshop.github.io

𝗧𝗼𝗽-𝗱𝗼𝘄𝗻 𝗮𝗻𝗱 𝗯𝗼𝘁𝘁𝗼𝗺-𝘂𝗽 𝗻𝗲𝘂𝗿𝗼𝘀𝗰𝗶𝗲𝗻𝗰𝗲: 𝗼𝘃𝗲𝗿𝗰𝗼𝗺𝗶𝗻𝗴 𝘁𝗵𝗲 𝗰𝗹𝗮𝘀𝗵 𝗼𝗳 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗰𝘂𝗹𝘁𝘂𝗿𝗲𝘀 nature.com/articles/s4158… Small contribution in piece by Fernando Rosas 🦋 and colleagues on how we need both types of research culture